This map shows the geographic impact of Qing Ma's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Qing Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qing Ma more than expected).
This network shows the impact of papers produced by Qing Ma. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Qing Ma. The network helps show where Qing Ma may publish in the future.
Co-authorship network of co-authors of Qing Ma
This figure shows the co-authorship network connecting the top 25 collaborators of Qing Ma.
A scholar is included among the top collaborators of Qing Ma based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Qing Ma. Qing Ma is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Ma, Qing. (2013). Multi-step prediction of traffic flow based on cycle similarity and least squares support vector machines.1 indexed citations
8.
Ma, Qing, et al.. (2011). Extraction of Broad-Scale, High-Precision Japanese-English Parallel Translation Expressions Using Lexical Information and Rules. Pacific Asia Conference on Language, Information, and Computation. 577–586.3 indexed citations
9.
Ma, Qing, et al.. (2008). Selection of Japanese-English Equivalents by Integrating High-quality Corpora and Huge Amounts of Web Data. Language Resources and Evaluation.1 indexed citations
10.
Murata, Masaki, et al.. (2008). Sophisticated Text Mining System for Extracting and Visualizing Numerical and Named Entity Information from a Large Number of Documents. NTCIR.3 indexed citations
11.
Murata, Masaki, et al.. (2008). Non-Factoid Japanese Question Answering through Passage Retrieval that Is Weighted Based on Types of Answers. International Joint Conference on Natural Language Processing. 727–732.1 indexed citations
12.
Murata, Masaki, Jong–Hoon Oh, Qing Ma, & Hitoshi Isahara. (2007). Applying Multiple Characteristics and Techniques in the NICT Information Retrieval System at NTCIR-6. NTCIR.
13.
Murata, Masaki, et al.. (2007). A System for Answering Non-Factoid Japanese Questions by Using Passage Retrieval Weighted Based on Type of Answer. NTCIR.11 indexed citations
14.
Kanzaki, Kyoko, et al.. (2006). Semantic Analysis of Abstract Nouns to Compile a Thesaurus of Adjectives. Language Resources and Evaluation. 1352–1357.1 indexed citations
15.
Murata, Masaki, et al.. (2005). Analysis of Machine Translation Systems’ Errors in Tense, Aspect, and Modality. Pacific Asia Conference on Language, Information, and Computation. 155–166.3 indexed citations
Murata, Masaki, Qing Ma, & Hitoshi Isahara. (2004). Applying Multiple Characteristics and Techniques to Obtain High Levels of Performance in Information Retrieval at NTCIR-4. NTCIR.8 indexed citations
19.
Kanzaki, Kyoko, et al.. (2004). Extraction of Hyperonymy of Adjectives from Large Corpora by Using the Neural Network Model. Language Resources and Evaluation.2 indexed citations
20.
Murata, Masaki, et al.. (2001). CRL at Ntcir2. arXiv (Cornell University).8 indexed citations
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive
bibliographic database. While OpenAlex provides broad and valuable coverage of the global
research landscape, it—like all bibliographic datasets—has inherent limitations. These include
incomplete records, variations in author disambiguation, differences in journal indexing, and
delays in data updates. As a result, some metrics and network relationships displayed in
Rankless may not fully capture the entirety of a scholar's output or impact.